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Jody Britten; Paul Atherton – Childhood Education, 2024
Globally, less than 10% of schools are developing uniquely local artificial intelligence (AI) policies and addressing use cases. Policies and guide rails for using AI in education that are in place have rightfully called for us to address the ethical implications and biases that can arise with regard to AI tools and systems. The landscape of what…
Descriptors: Artificial Intelligence, Technology Uses in Education, Faculty Development, Computer Assisted Instruction
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Matt Finch; Niamh Ní Bhroin; Steffen Krüger – Prospects, 2024
In times of turbulence, uncertainty, novelty, and ambiguity--the so-called TUNA conditions--our experience of the past may prove a poor guide to the future times in which our decisions and their consequences will unfold. Under such conditions, the manufacture of scenarios that are plausible future contexts for a given issue and are designed to…
Descriptors: Educational Trends, Futures (of Society), Vignettes, Foreign Countries
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Chun-Yi Lee; Kin Hang Lei; Ming-Jang Chen; Chia-Rong Lee; Chao-Chi Chen – Cogent Education, 2023
This study combined the principles of multimedia message design with an enclosing-rectangle scaffold to facilitate instruction on deriving the area of basic geometric shapes. A pretest/posttest/delayed-posttest design was used to compare the effectiveness of the enclosing-rectangle scaffold with that of conventional dissection/rearrangement…
Descriptors: Low Achievement, Geometric Concepts, Computer Assisted Instruction, Teaching Methods
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Anouschka van Leeuwen; Lisette Hornstra; Jeroen Janssen; En Ning Leow – Journal of Computer Assisted Learning, 2025
Background: Computer-supported collaborative learning (CSCL) environments are hypothesised to offer a learning environment that satisfies basic psychological needs for autonomy, relatedness and competence, subsequently improving learning and motivational outcomes. However, the underlying mechanism of how basic psychological needs are fulfilled…
Descriptors: Peer Relationship, Interaction, Computer Assisted Instruction, Cooperative Learning
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Rotem Abdu; Sofia Tancredi; Dor Abrahamson; Ramesh Balasubramaniam – Educational Studies in Mathematics, 2025
This paper combines recent developments in theories of knowledge (complex dynamic systems), technologies (embodied interactions), and research tools (multimodal data collection and analysis) to offer new insights into how conceptual mathematical understanding can emerge. A complex dynamic system view models mathematics learning in terms of a…
Descriptors: Mathematical Concepts, Mathematics Skills, Eye Movements, Coordination
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Yin Zhang; Menglong Zhang; Liming Wu; Jin Li – Science & Education, 2025
Rapid advancements in the information age have prompted significant digitalization in global higher education, with Chinese higher education particularly adapting to the influence of artificial intelligence. This study focuses on the digital transformation in China's higher education, specifically within AI-assisted engineering education. It…
Descriptors: Foreign Countries, Higher Education, Artificial Intelligence, Computer Assisted Instruction
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Mohammed Ali Mohsen; Sultan Althebi; Saba Qadhi – European Journal of Education, 2025
This bibliometric analysis explores the evolution of Computer-Assisted Language Learning (CALL) research spanning from 1979 to 2023. The study meticulously examines various metrics of CALL research across the past four decades, focusing on geographical and institutional productivity, citation impact, and the thematic co-occurrence of keywords.…
Descriptors: Computer Assisted Instruction, Second Language Learning, Foreign Countries, English (Second Language)
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Rui Li – British Journal of Educational Technology, 2025
Despite the proliferation of help options for computer-based second language (L2) listening comprehension, little attention has been given to a comprehensive understanding of the pedagogical effects. To gain a thorough understanding of the overall and moderator effects, drawing on the activity theory (AT), this study conducted a meta-analysis of…
Descriptors: Computer Assisted Instruction, Second Language Instruction, English (Second Language), Listening Comprehension
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Nancy Otero; Stefania Druga; Andrew Lan – Discover Education, 2025
This study introduces an evaluation benchmark for middle school algebra to be used in artificial intelligence (AI) based educational platforms. The goal is to support the design of AI systems that can enhance learners' conceptual understanding of algebra by taking into account learners' current level of algebra comprehension. The dataset comprises…
Descriptors: Benchmarking, Misconceptions, Mathematical Concepts, Secondary School Mathematics
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Michelle Ronksley-Pavia; Steven Ronksley-Pavia; Chris Bigum – Journal of Advanced Academics, 2025
In many general education classrooms across the world, educators struggle to meet the educational needs of twice-exceptional and multi-exceptional neurodivergent learners, with their confluence of exceptional strengths and exceptional challenges. This article reports the process, findings, and implications of research that implemented a series of…
Descriptors: Elementary Secondary Education, Artificial Intelligence, Twice Exceptional, Gifted Education
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Wenji Wang; Wenjuan Wang – Journal of Computer Assisted Learning, 2025
Background Study: The combination of artificial intelligence (AI) and foreign language learning is emerging as a significant trend in language education. Objectives: This study aimed to investigate the impact of technology acceptance, attitude and motivation on behavioural intentions regarding the use of AI in language learning. Methods:…
Descriptors: College Students, Student Behavior, Intention, Educational Technology
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Deniz Yesi?l; Fatma Bayrak – Open Praxis, 2025
Feedback is a critical component of the learning process and is essential to reinforce the effect of feedback with affective elements. Due to technological developments, providing automated feedback has become easy. Therefore, this study examined the effect of automated elaborated feedback provided with affective feedback on situational intrinsic…
Descriptors: Feedback (Response), Automation, Student Motivation, Self Efficacy
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Jodie Torrington; Matt Bower; Emma C. Burns – British Journal of Educational Technology, 2024
It is well-established that being a self-regulated learner is beneficial academically, motivationally and is considered essential for productive life-long learning. Despite this, there is limited evidence examining how different measures of self-regulation for learning (SRL) relate to task performance for young students learning in digital…
Descriptors: Elementary School Students, Elementary Education, Electronic Learning, Independent Study
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Tiphaine Colliot; Jean-Michel Boucheix – Journal of Computer Assisted Learning, 2024
Background: Previous studies have shown that dynamic illustrations, as compared to their static counterparts, lead to higher achievement levels, especially for hand-based procedures. Other researchers have investigated how the presence of seductive details (i.e., appealing but irrelevant adjunct displays) influences students' interest positively…
Descriptors: Illustrations, Animation, Handicrafts, Elementary School Students
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Merav Weingarden; Giulia Lisarelli; Anna Baccaglini-Frank – Digital Experiences in Mathematics Education, 2024
This article investigates the potential mathematical learning opportunities arising from a digital activity designed to enhance students' comprehension of equations. Employing a commognitive-oriented lens, the analysis explores the potential mathematical discourses that could emerge from students' interactions with a digital scale inspired by the…
Descriptors: Mathematics Education, Mathematics Achievement, Equations (Mathematics), Computer Assisted Instruction
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